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نمایش تعداد 1-6 از 6

A novel approach for multimodal face recognition system based on modular PCA

نوع: Conference Paper

نویسنده : Parvathy, S.B.; Naveen, S.; Moni, R.S.

ناشر: IEEE

سال: 2014

Design of compact microstrip lowpass elliptic filter with wide stop band using invasive weed optimization

نوع: Conference Paper

نویسنده : Amiri, Mozhgan; Sedighy, S.Hassan; Hayati, Mohsen

ناشر: IEEE

سال: 2014

An Empirical Study on Determinants of Capital Structure in Chinese Listed Companies

نوع: Conference Paper

نویسنده : Qian Xu; Chuanguo Li

ناشر: IEEE

سال: 2014

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نوع: Conference Paper

ناشر: IEEE

سال: 2014

S3-P3: Advanced no-field-plate AlGaN/GaN hemts for millimeter-wave MMIC applications

نوع: Conference Paper

نویسنده : Xu, Dong; Chu, K.K.; Diaz, J.A.; Pleasant, L.Mt.; Lender, R.; Schmanski, B.; Ashman, M.; Hulse, J.; Gerlach, M.; Zhu, Wenhua; Seekell, P.; Schlesinger, L.; Isaak, R.; Nichols, K.; Komiak, J.J.; Yang, X.P.; Duh, K.H.G.; Smith, P.M.; Chao, P.C.

ناشر: IEEE

سال: 2014

Configuration strategies for reconfigurable virtual instruments using FPGA

نوع: Conference Paper

نویسنده : Sundaramurthy, R.; Dananjayan, P.

ناشر: IEEE

سال: 2014

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A novel approach for multimodal face recognition system based on modular PCA

Design of compact microstrip lowpass elliptic filter with wide stop band using invasive weed optimization

An Empirical Study on Determinants of Capital Structure in Chinese Listed Companies

[Copyright notice]

S3-P3: Advanced no-field-plate AlGaN/GaN hemts for millimeter-wave MMIC applications

Configuration strategies for reconfigurable virtual instruments using FPGA

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A novel approach for multimodal face recognition system based on modular PCA

Design of compact microstrip lowpass elliptic filter with wide stop band using invasive weed optimization

An Empirical Study on Determinants of Capital Structure in Chinese Listed Companies

[Copyright notice]

S3-P3: Advanced no-field-plate AlGaN/GaN hemts for millimeter-wave MMIC applications

Configuration strategies for reconfigurable virtual instruments using FPGA